This book leverages UML as a catalyst for assisting software developers in designing Deep Learning model architectures. Also it offers software enterprises an approach to design production grade AI platforms for Building, Training and Deploying Deep Learning Models. Therefore, the book first takes its readers through the practical view of Deep Learning, Model Driven Architecture, UML standards and Metamodel instance generation in great details. Post this, it lands readers to the Holy Grail - i.e., the nuances of 'UML Metamodel for Deep learning'.
